AI-First Product Management
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
Singapore
Mandy Pham is Senior Data Scientist (Analytics) at GXS, focusing on developing and deploying analytical solutions including customer acquisition, marketing, product development, customer experience and various business needs across GXS business functions.
In her previous role, she was a hotel analytic manager at Marina Bay Sands, where she applied advanced statistical and machine learning models to predict guest demand, analyzed guest behaviors and built optimization models in operations for workforce planning for C-level executives in strategic manpower planning and hotel operations.
Prior to that, Mandy had eight-year experience in finance departments within the top ten largest investment banks in the world.
With 12 years of experience in banking industry and data analytics, Mandy enjoys exploring and building analytics solutions that can be incorporated into data-driven decision making processes to achieve long-term success. She holds a Bachelor’s degree in Economics from National Economics University (Vietnam), a Bachelor’s degree in Computing and a Master’s degree in Business Analytics from National University of Singapore.
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
This course is designed to prepare learners to use the most powerful Generative AI tools and apply the strategic frameworks needed to leverage them effectively and responsibly.
In this course, the learner will gain a hands-on introduction to data analytics and visualization using SQL and Tableau.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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